000			02101nam a2200277Ia 4500
003			OSt
005			20250716120706.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9781441973375
040			_aCSL _beng _cCSL
041			_aeng
084			_aG:6:(B28) Q1;1 _qCSL
100			_a Laird, Nan M. _eauthor. _9815725
245		0	_a Fundamentals of Modern Statistical Genetics
260			_aNew York : _bSpringer, _c2011.
300			_axiv, 223p.
490			_aStatistics for Biology and Health
500			_aIncludes Bibliography 211-218p.; Index 219-223p.
520			_aThis book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel’s first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.
650			_aBiology.
650			_aStatistical genetics. _9815723
650			_aStatistics.
700			_aLange, Christoph _eco-author. _9815724
942			_hG:6:(B28) Q1;1 _cTEXL _2CC _n0
999			_c14468 _d14468